Senior Customer AI Engineer - Token Factory
About this role
Senior Customer AI Engineer - Token Factory at Nebius in Singapore is a full-time position suited for a technical professional experienced in managing customer workloads and AI infrastructure. This role enables candidates to work remotely from Singapore while helping clients transition their AI projects from proof-of-concept to production.
Role Overview
The Senior Customer AI Engineer position at Nebius operates within the Token Factory team located in Singapore. The professional in this role bridges engineering, delivery, and customer success by helping clients scale workloads on Nebius infrastructure. The position focuses on guiding customers through technical deployments rather than handling sales or standard support tasks.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Nebius develops a full-stack AI cloud platform designed to support enterprises and developers through data training, model training, and production deployment without complex in-house infrastructure requirements. The organization handles computing, storage, networking, and applied AI challenges. Listed on Nasdaq under the ticker NBIS and headquartered in Amsterdam, the company maintains a global presence with research and development hubs spanning Europe, the UK, North America, and Israel, supported by a workforce exceeding 1,500 employees.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Is the Senior Customer AI Engineer role a sales position?
No, this is not a sales position or a pure support role, though the engineer will support expansion through value.
Can I work remotely for this position?
Yes, applicants are welcome to work remotely from Singapore.
What specific inference frameworks should I know?
Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar tools is expected.
Will I be designing systems from scratch?
No, this is not a solution architect role, so you will not design systems from scratch.
What are the primary responsibilities regarding customer workloads?
Responsibilities include leading the transition from proof-of-concept to production, ensuring workloads are deployed, stable, and scalable, and monitoring performance metrics like latency, throughput, reliability, and cost efficiency.